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A Decision Support System for Safer Airplane Landings

This repository contains scripts used to create machine learning models to predict runway surface conditions from weather data and runway reports. The files contains what you need to perform a classification (slippery / non-slippery) and a regression on the tire-to-road friction coefficient, as well as explaniable AI by calculating SHAP values for the predictions.

The scripts are used for the calculations done in this paper: https://www.sciencedirect.com/science/article/pii/S0165232X22000751.

The finished trained and tuned regression model and classification model are availalbe as JSON files.

Please reach out to alisedm@math.uio.no if you have any questions.

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Scripts used to create machine learning models to predict runway surface conditions from weather data and runway reports.

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